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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

CADU, a cloud-enabled AI solution created by Odin Vision, is designed to aid in identifying and characterizing dysplasia in individuals with Barrett’s oesophagus during gastroscopy. The system evaluates areas that visually resemble Barrett’s oesophagus and offers insights to help clinicians determine whether the tissue is dysplastic or non-dysplastic. By improving the decision-making process for endoscopists and expediting the examination of the oesophagus, CADU proves to be both time-efficient and cost-effective. Additionally, it functions on a platform that is vendor-neutral, facilitating its use with various endoscopic equipment. The system is CE marked and holds UKCA approval; however, it is not available for commercial sale in the United States. CADU has been adopted in clinical environments, including University College London Hospitals, aiming to enhance the detection of early oesophageal cancer, which can often be difficult to identify due to the subtle nature of initial lesions. Its implementation represents a significant advancement in the early diagnosis of this serious condition, highlighting the importance of technology in modern medicine.

Description

The ASUS EndoAim AI Endoscopy System represents a state-of-the-art, compact artificial intelligence tool tailored to support gastroenterologists in the identification and categorization of polyps during colonoscopy examinations. By leveraging Intel Core processors alongside the OpenVINO toolkit, EndoAim achieves a remarkable processing rate of 60 frames per second with a latency of under 70 milliseconds, facilitating swift detection of polyps, including those that are particularly small or challenging to find. The system visually highlights potential polyps on the display screen and classifies them as either adenoma or non-adenoma, thus providing immediate feedback to healthcare professionals. Moreover, EndoAim includes a convenient one-click feature for size measurement, which enhances the evaluation of polyp dimensions without relying on traditional visual estimation techniques. This innovative system integrates effortlessly with existing colonoscopy setups, necessitating only a mini PC as additional hardware, and has already seen implementation in more than 30 medical facilities across Taiwan. Its widespread adoption underscores the growing reliance on AI technologies in improving diagnostic accuracy in gastroenterological practices.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

OpenVINO
Qualcomm Cloud AI SDK

Integrations

OpenVINO
Qualcomm Cloud AI SDK

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Odin Vision

Country

United Kingdom

Website

odin-vision.com/en_gb/cadu-2/

Vendor Details

Company Name

ASUS

Founded

1989

Country

China

Website

www.asus.com/mobile-handhelds/wearable-healthcare/asus-endoaim-ai-endoscopy-system/asus-endoaim/

Product Features

Medical Imaging

Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management

Product Features

Medical Imaging

Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management

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